Philipp Probst
Philipp Probst
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Title
Cited by
Cited by
Year
Hyperparameters and tuning strategies for random forest
P Probst, MN Wright, AL Boulesteix
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1301, 2018
3172018
Random forest versus logistic regression: a large-scale benchmark experiment
R Couronné, P Probst, AL Boulesteix
BMC bioinformatics 19 (1), 1-14, 2018
2032018
Tunability: importance of hyperparameters of machine learning algorithms
P Probst, B Bischl, AL Boulesteix
Journal of Machine Learning Research 20 (53), 1-32, 2018
1842018
To Tune or Not to Tune the Number of Trees in Random Forest.
P Probst, AL Boulesteix
Journal of Machine Learning Research 18 (181), 1-18, 2018
1632018
ranger: A fast implementation of random forests
MN Wright, S Wager, P Probst
R package version 0.5. 0, URL https://CRAN. R-project. org/package= ranger, 2016
412016
Multilabel classification with R package mlr
P Probst, Q Au, G Casalicchio, C Stachl, B Bischl
The R Journal 9 (1), 352--369, 2017
192017
tscount: Analysis of Count Time Series
T Liboschik, R Fried, K Fokianos, P Probst
R package version 1 (0), 2016
132016
Learning multiple defaults for machine learning algorithms
F Pfisterer, JN van Rijn, P Probst, AC Müller, B Bischl
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
112021
Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations
AL Boulesteix, S Janitza, R Hornung, P Probst, H Busen, A Hapfelmeier
Biometrical Journal 61 (5), 1314-1328, 2019
112019
Large-scale benchmark study of survival prediction methods using multi-omics data
M Herrmann, P Probst, R Hornung, V Jurinovic, AL Boulesteix
Briefings in bioinformatics 22 (3), bbaa167, 2021
92021
A fast implementation of random forests
MN Wright, S Wager, P Probst
R package version 0.11 2, 2019
92019
Quality of life up to 10 years after traumatic brain injury: a cross-sectional analysis
K Rauen, L Reichelt, P Probst, B Schäpers, F Müller, K Jahn, N Plesnila
Health and quality of life outcomes 18, 1-12, 2020
82020
Package ‘ranger’
MN Wright, S Wager, P Probst, MMN Wright
72018
Automatic exploration of machine learning experiments on openml
D Kühn, P Probst, J Thomas, B Bischl
arXiv preprint arXiv:1806.10961, 2018
62018
Decompressive craniectomy is associated with good quality of life up to 10 years after rehabilitation from traumatic brain injury
K Rauen, L Reichelt, P Probst, B Schäpers, F Müller, K Jahn, N Plesnila
Critical care medicine 48 (8), 1157-1164, 2020
52020
Hyperparameters, tuning and meta-learning for random forest and other machine learning algorithms
P Probst
lmu, 2019
42019
Asthma features in severe COPD: Identifying treatable traits
S Matthes, J Stadler, J Barton, G Leuschner, D Munker, P Arnold, ...
Respiratory medicine 145, 89-94, 2018
42018
mlr Tutorial
J Schiffner, B Bischl, M Lang, J Richter, ZM Jones, P Probst, F Pfisterer, ...
arXiv preprint arXiv:1609.06146, 2016
32016
Quality of life after traumatic brain injury: a cross-sectional analysis uncovers age-and sex-related differences over the adult life span
K Rauen, CB Späni, MC Tartaglia, MT Ferretti, L Reichelt, P Probst, ...
GeroScience 43 (1), 263-278, 2021
22021
Impact of pathologic body composition assessed by CT-based anthropometric measurements in adult patients with multiple trauma: A retrospective analysis
B Poros, T Irlbeck, P Probst, A Volkmann, P Paprottka, W Böcker, ...
European Journal of Trauma and Emergency Surgery, 1-15, 2019
22019
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Articles 1–20